该项目开源了一个基于图像中物体结构信息深度理解的图像识别、检测、分割算法框架。通过同一类别图像之间的共现信息首先基于弱监督的方式获得图像中物体的整体轮廓，然后基于自监督学习的方式，利用极坐标回归的损失函数来迫使神经网络对于目标物体的内部几何结构进行建模，从而辅助图像分类、检测以及分割任务来提升性能。
Updated 1 year ago Jupyter Notebook
Spatial-Temporal Re-identification
Updated 1 year ago Python
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》
